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Solving Big Data Challenges in the Digital Age

Date:
Tuesday, December 8, 2020
Location:
On-Demand
Duration:
45 minutes

Leveraging Linking & Machine Learning to Make the Most of Your Data

Data is today’s commodity of choice, however ensuring companies are maximizing their data and realizing its full potential is a challenge. The quick rise of AI and Machine Learning in all facets of business has many asking how they can capitalize on these technologies to solve their big data challenges and enhance their decision making. In this presentation, you’ll hear from experts from S&P Global Market Intelligence and Kensho, the S&P Global company powering our AI and Machine Learning capabilities, on some of the biggest data challenges in the market today including data linking, audio to text and name entity recognition. Additionally, you’ll see first-hand examples where Kensho Solutions, such as Link, Scribe and NERD, have leveraged Machine Learning to resolve these challenges efficiently and effectively.

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Speakers:

S&P Global Contributor
S&P Global Contributor
Lance is responsible for managing, developing, maintaining and enhancing the Global Cross Reference Services, including; Business Entity Cross Reference Service (BECRS), Global Instrument Cross Reference Services (GICRS fka ISIDPlus), Select Asset list, CrossWalk, Company Relationship, and more. Full Bio
S&P Global Contributor
S&P Global Contributor

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